对齐与安全论文趋势 2023–2026

RLHF、偏好优化、红队与安全对齐

统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 4,558 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

对齐与安全论文数,按年份和会议
年份NeurIPSICLRICMLCVPR合计
202313887101112438
2024348156246125875
20254554733001351,363
20264806235512281,882

代表论文

按年份和会议均匀挑选,方便快速看到每一届的样貌

全部对齐与安全论文

共 1,421 篇,第 13 / 29 页

  1. NeurIPS 2025Doubly Robust Alignment for Large Language Models
  2. NeurIPS 2025DP²O-SR: Direct Perceptual Preference Optimization for Real-World Image Super-Resolution
  3. NeurIPS 2025DriveDPO: Policy Learning via Safety DPO For End-to-End Autonomous Driving
  4. NeurIPS 2025DSAS: A Universal Plug-and-Play Framework for Attention Optimization in Multi-Document Question Answering
  5. NeurIPS 2025Dual Alignment Framework for Few-shot Learning with Inter-Set and Intra-Set Shifts
  6. NeurIPS 2025Dual Data Alignment Makes AI-Generated Image Detector Easier Generalizable
  7. NeurIPS 2025DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers
  8. NeurIPS 2025Dynamic Diameter in High-Dimensions against Adaptive Adversary and Beyond
  9. NeurIPS 2025Dynamic Risk Assessments for Offensive Cybersecurity Agents
  10. NeurIPS 2025Dynamical Decoupling of Generalization and Overfitting in Large Two-Layer Networks
  11. NeurIPS 2025Efficient and Generalizable Mixed-Precision Quantization via Topological Entropy
  12. NeurIPS 2025Efficient and Near-Optimal Algorithm for Contextual Dueling Bandits with Offline Regression Oracles
  13. NeurIPS 2025Efficient Preference-Based Reinforcement Learning: Randomized Exploration meets Experimental Design
  14. NeurIPS 2025Elastic Robust Unlearning of Specific Knowledge in Large Language Models
  15. NeurIPS 2025ElliCE: Efficient and Provably Robust Algorithmic Recourse via the Rashomon Sets
  16. NeurIPS 2025Embracing Contradiction: Theoretical Inconsistency Will Not Impede the Road of Building Responsible AI Systems
  17. NeurIPS 2025Enhancing CLIP Robustness via Cross-Modality Alignment
  18. NeurIPS 2025Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment
  19. NeurIPS 2025Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization
  20. NeurIPS 2025EraseFlow: Learning Concept Erasure Policies via GFlowNet-Driven Alignment
  21. NeurIPS 2025Erasing Conceptual Knowledge from Language Models
  22. NeurIPS 2025Error Broadcast and Decorrelation as a Potential Artificial and Natural Learning Mechanism
  23. NeurIPS 2025ErrorTrace: A Black-Box Traceability Mechanism Based on Model Family Error Space
  24. NeurIPS 2025ESCA: Enabling Seamless Codec Avatar Execution through Algorithm and Hardware Co-Optimization for Virtual Reality
  25. NeurIPS 2025EVOREFUSE: Evolutionary Prompt Optimization for Evaluation and Mitigation of LLM Over-Refusal to Pseudo-Malicious Instructions
  26. NeurIPS 2025Explainable Reinforcement Learning from Human Feedback to Improve Alignment
  27. NeurIPS 2025Explaining and Mitigating Crosslingual Tokenizer Inequities
  28. NeurIPS 2025Explaining the Law of Supply and Demand via Online Learning
  29. NeurIPS 2025Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback
  30. NeurIPS 2025Fact-R1: Towards Explainable Video Misinformation Detection with Deep Reasoning
  31. NeurIPS 2025Failure Prediction at Runtime for Generative Robot Policies
  32. NeurIPS 2025Fair Minimum Labeling: Efficient Temporal Network Activations for Reachability and Equity
  33. NeurIPS 2025Fast Computation and Optimization for Opinion-Based Quantities of Friedkin-Johnsen Model
  34. NeurIPS 2025FastJAM: a Fast Joint Alignment Model for Images
  35. NeurIPS 2025FedFree: Breaking Knowledge-sharing Barriers through Layer-wise Alignment in Heterogeneous Federated Learning
  36. NeurIPS 2025FedWMSAM: Fast and Flat Federated Learning via Weighted Momentum and Sharpness-Aware Minimization
  37. NeurIPS 2025Finding and Reactivating Post-Trained LLMs' Hidden Safety Mechanisms
  38. NeurIPS 2025Fine-Grained Preference Optimization Improves Spatial Reasoning in VLMs
  39. NeurIPS 2025Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods
  40. NeurIPS 2025Fire360: A Benchmark for Robust Perception and Episodic Memory in Degraded 360° Firefighting Video
  41. NeurIPS 2025FRAM: Frobenius-Regularized Assignment Matching with Mixed-Precision Computing
  42. NeurIPS 2025FraPPE: Fast and Efficient Preference-Based Pure Exploration
  43. NeurIPS 2025From Judgment to Interference: Early Stopping LLM Harmful Outputs via Streaming Content Monitoring
  44. NeurIPS 2025From Noise to Narrative: Tracing the Origins of Hallucinations in Transformers
  45. NeurIPS 2025Fundamental Limitations in Pointwise Defences of LLM Finetuning APIs
  46. NeurIPS 2025GASP: Efficient Black-Box Generation of Adversarial Suffixes for Jailbreaking LLMs
  47. NeurIPS 2025Generalization Bound of Gradient Flow through Training Trajectory and Data-dependent Kernel
  48. NeurIPS 2025Generalizing while preserving monotonicity in comparison-based preference learning models
  49. NeurIPS 2025Generative RLHF-V: Learning Principles from Multi-modal Human Preference
  50. NeurIPS 2025GMV: A Unified and Efficient Graph Multi-View Learning Framework

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后,写综述、挑方向或准备投稿时,不用离开对话框就能拿到这页的数字:每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文,AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查对齐与安全在 NeurIPS 2023–2026 的论文趋势,哪一年涨得最快?

AI 会调用的工具:get_topic_stats {"topic": "alignment-and-safety"}

两分钟接入 Paperlist MCP(Claude Code、Cursor、Codex、ChatGPT)

常见问题

2023–2026 年四大会议一共有多少篇对齐与安全论文?
共 4,558 篇,按年份分别是 2023 年 438 篇、2024 年 875 篇、2025 年 1,363 篇、2026 年 1,882 篇。
NeurIPS 2026 有多少篇对齐与安全论文?
NeurIPS 2026 有 480 篇对齐与安全论文,上一届是 455 篇。
ICLR 2026 有多少篇对齐与安全论文?
ICLR 2026 有 623 篇对齐与安全论文,上一届是 473 篇。
ICML 2026 有多少篇对齐与安全论文?
ICML 2026 有 551 篇对齐与安全论文,上一届是 300 篇。
CVPR 2026 有多少篇对齐与安全论文?
CVPR 2026 有 228 篇对齐与安全论文,上一届是 135 篇。
哪个会议的对齐与安全论文最多?
NeurIPS,2023–2026 年共 1,421 篇。

「对齐与负责任 AI」下的其他主题